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» Incremental Mining of Sequential Patterns in Large Databases
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PKDD
2007
Springer
95views Data Mining» more  PKDD 2007»
14 years 1 months ago
Pruning Relations for Substructure Discovery of Multi-relational Databases
Multirelational data mining methods discover patterns across multiple interlinked tables (relations) in a relational database. In many large organizations, such a multi-relational ...
Hongyu Guo, Herna L. Viktor, Eric Paquet
KDD
2000
ACM
114views Data Mining» more  KDD 2000»
13 years 11 months ago
Learning Prosodic Patterns for Mandarin Speech Synthesis
Higher quality synthesized speech is required for widespread use of text-to-speech (TTS) technology, and prosodic pattern is the key feature that makes synthetic speech sound unna...
Yiqiang Chen, Wen Gao, Tingshao Zhu
ICDE
1998
IEEE
187views Database» more  ICDE 1998»
14 years 9 months ago
Mining Optimized Association Rules with Categorical and Numeric Attributes
?Mining association rules on large data sets has received considerable attention in recent years. Association rules are useful for determining correlations between attributes of a ...
Rajeev Rastogi, Kyuseok Shim
VLDB
1997
ACM
175views Database» more  VLDB 1997»
13 years 11 months ago
STING: A Statistical Information Grid Approach to Spatial Data Mining
Spatial data mining, i.e., discovery of interesting characteristics and patterns that may implicitly exist in spatial databases, is a challenging task due to the huge amounts of s...
Wei Wang 0010, Jiong Yang, Richard R. Muntz
SIGMOD
2004
ACM
189views Database» more  SIGMOD 2004»
14 years 7 months ago
A Holistic Paradigm for Large Scale Schema Matching
Schema matching is a critical problem for integrating heterogeneous information sources. Traditionally, the problem of matching multiple schemas has essentially relied on finding ...
Bin He, Kevin Chen-Chuan Chang